A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine

A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine

10.1016/S0925-2312(03)00433-8

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書目詳細資料
Main Authors:	Cao, L.J., Chua, K.S., Chong, W.K., Lee, H.P., Gu, Q.M.
其他作者:	MATHEMATICS
格式:	Article
出版:	2014
主題:	Independent component analysis Kernel principal component analysis Principal component analysis Support vector machines
在線閱讀:	http://scholarbank.nus.edu.sg/handle/10635/102621
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	National University of Singapore

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